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Use the apply button to begin your application.
If you require a Student visa and wish to study a postgraduate course on a part-time basis, please read our how to apply information for international students to ensure you have all the details you need about the application process.
Why study this course?
On our Data Analytics MSc you'll dive into vital subjects including data mining, statistical modelling, business intelligence and data visualisation. The course has been developed with direct input from industry experts who know the value of learning through real-life business cases. By the end of the master's degree you’ll be ready to apply for rewarding roles in the data science and big data industries, as well as the many sectors and organisations that increasingly require data analysts.
Our Data Analytics MSc degree has been accredited with partial CITP status by BCS, The Chartered Institute for IT. This accreditation is a mark of assurance that the degree meets the standards set by BCS. As a graduate of this course, accreditation will also entitle you to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute.
The course has also achieved partial CENG status by BCS on behalf of the Engineering Council. Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng).
Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.
The course can also prepare you for the industry-recognised Oracle Professional Certification.
Accredited by the BCS
This course has been accredited with partial CITP status by BCS, The Chartered Institute for IT
Accredited by the Engineering Council
The course has also achieved partial CENG status by BCS on behalf of the Engineering Council - this is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC)
Become a member of the BCS
As a graduate of this course you will be entitled to professional membership of the British Computer Society (BCS), which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute
Course details
You will be required to have:
- a 2:2 UK degree (or equivalent) in a computing or mathematics based discipline
or
- a 2:1 UK degree (or equivalent) in a non-mathematics or computing discipline where an element of data analysis can be demonstrated
Accreditation of Prior Learning
Any university-level qualifications or relevant experience you gain prior to starting university could count towards your course at London Met. Find out more about applying for Accreditation of Prior Learning (APL).
English language requirements
To study a degree at London Met, you must be able to demonstrate proficiency in the English language. If you require a Student visa (previously Tier 4) you may need to provide the results of a Secure English Language Test (SELT) such as Academic IELTS. This course requires you to meet our standard requirements.
If you need (or wish) to improve your English before starting your degree, the University offers a Pre-sessional Academic English course to help you build your confidence and reach the level of English you require.
The course is assessed in a number of ways including written reports, practical and research assignments, demonstrations, presentations, group work and examinations.
Upon completion of the course, you’ll be well equipped to work in some of the fastest growing sectors of the data science and big data industries. A wide range of career opportunities will be open to you in the commercial, public and financial sectors, especially in areas requiring big data analysis such as consumer, healthcare, scientific, financial, security intelligence, business and social sciences.
Our data analytics graduates have gone on to secure exciting roles in diverse sectors including fintech, transportation, healthcare, research, environmental and education. The job roles range from data engineer, analytics manager, data solution developer, data analyst, Python developer.
The course also provides you with an excellent basis for further study if you want to pursue a higher-level research degree or embark on an industry-based research career.
If you've already studied your undergraduate degree with us, as a graduate of London Met, you'll be entitled to a 20% discount on any further study with us.
* exclusions apply
Please note, in addition to the tuition fee there may be additional costs for things like equipment, materials, printing, textbooks, trips or professional body fees.
Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful (for example, optional field trips). The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged.
How to apply
Use the apply button to begin your application.
If you require a Student visa and wish to study a postgraduate course on a part-time basis, please read our how to apply information for international students to ensure you have all the details you need about the application process.
When to apply
You are advised to apply as early as possible as applications will only be considered if there are places available on the course.
To find out when teaching for this degree will begin, as well as welcome week and any induction activities, view our academic term dates.
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